Logo-apb
Adv Pharm Bull. 2024;14(1): 1-4. doi: 10.34172/apb.2024.020
PMID: 38585462        PMCID: PMC10997925

Editorial

Diagnosis Unreliability of ChatGPT for Journal Evaluation

Mehdi Dadkhah 1,2 * ORCID, Marilyn H Oermann 3 ORCID, Mihály Hegedüs 4 ORCID, Raghu Raman 5, Lóránt Dénes Dávid 6,7 ORCID

Cited by CrossRef: 3

1- Jyothy S, Kolil V, Raman R, Achuthan K. Exploring large language models as an integrated tool for learning, teaching, and research through the Fogg Behavior Model: a comprehensive mixed-methods analysis. Cogent Engineering. 2024;11(1) [Crossref]
2- Dadkhah M, Oermann M, Raman R, Dávid L. A serious threat to publishing ethics and research integrity: Citations to hijacked journals. eq. 2023;18(4):897 [Crossref]
3- Dadkhah M, H. Oermann M, Hegedűs M, Dénes Dávid L, Raman R. Detecting New Hijacked Journals by Using a List of Known Hijacked Journals and the Diagnosis of Web Domain Data. Serials Review. 2024;50(3-4):91 [Crossref]
4- Fábics I. A számviteli beszámolók érdekhordozóinak felmérése Magyarországon 2023-ban. Veztud. 2024;55(KSZ):81 [Crossref]
5- Dadkhah M, Hegedűs M, Nedungadi P, Raman R, Dávid L. Unveiling the Hidden Menace: A Topic Modeling Analysis of Hijacked Medical Journals. Adv Pharm Bull. 2024;14(2):255 [Crossref]

Journal Info:

Freq.: Quarterly

eISSN: 2251-7308 
pISSN: 2228-5881 

Permission: CC By

Platinum Open Access

(no submission or publication fees)

Powered by